As per energy and power productivity of a solar photovoltaic (SPV) system is evaluated, Partial Shading Conditions (PSC) play a significant role. Under PSC, the panels of a SPV modules receive various levels of solar irradiance, as a result power generation of a SPV system diminishes, and these losses in SPV panels may be decrease by changing the configuration of the panels in array/module. The panels may be configure in many different configuration such as Series(S), Parallel (P), Series Parallel (SP), Total Cross Tied (TCT), Bridge Linked (BL), and Honeycomb (HC) to improve the output energy and power efficiency. This work is aimed to present all the configuration that already been presented in literature and result of PSC on SPV systems are referenced and analyzed. There are four configuration 4×4 array of solar photovoltaic panels to be discussed in this paper. Four configuration are Series parallel (SP), total cross tied (TCT), bridge linked (BL), and honey comb (HC). Four simulated models were performed to decide to effect of shadow with 10 shading patterns. The simulated results shows as a power against voltage (PV) curves of 4×4 array of SPV under PSC for above mentioned configuration. The PV curve of the proposed configuration is enhanced the power efficiency and the minute and exact finding of global maximum peak is simpler. The test of the simulated modules and its theoretical results ensure the effective implementation of this techniques in hardware setup also. It is confront that this work will be a reference of useful and important information for researchers in Solar panel area. The work presented in this papers envisages to be a source.
Extraction of maximum power from large scale solar photovoltaic power systems is the most challenging and demanding research in the current scenario. Solar photovoltaic panels are highly susceptible to a phenomenon known as partial shading. Partial shading increases mismatch losses and reduces the output of the solar photovoltaic system The output reduction in the partially shaded array is proportional to the shaded area, shaded panel's placement within the array, panel connections, shade geometry, etc. There are several approaches for reducing Partial shading effects in the literature. The most efficient approach to mitigating the mismatch losses due to Partial shading in large-scale solar photovoltaic systems is the reconfiguration technique, which distributes shaded panels more evenly and increases the maximum power output. The current work utilizes a set of reconfiguration rules for selecting the location of shaded panels within an array that allows for multiple reconfiguration options. The results show that the proposed reconfiguration has obtained an improved Performance enhancement ratio of 25% in one shading pattern i.e. short wide shading, Performance enhancement ratio of 6.4% in short narrow and centre shading and Performance enhancement ratio of 5.9% in long narrow shading. The proposed reconfiguration was found to be the most suitable, simple, and cost-effective solution for large size of solar photovoltaic system under all shading conditions.
In the current context, the most challenging and demanding research is to obtain maximum power from solar photovoltaic (SPV) power systems. Partial shadowing (PS) is a prominent cause of solar photovoltaic panels output power loss. The output decreases proportionally to the shaded area, the placement of shaded panels within the array, panel interconnections, shade pattern, etc. Numerous static and dynamic approaches for reducing the PS effect have been reported in the literature. Of these, the most common is the reconfiguration technique based on the static method, which distributes shaded panels more consistently and increases maximum power generation. The current study investigates the performance of common existing reconfiguration techniques based on static methods, including TCT, Sudoku, odd even (OE), and Latin square (LS) on a 4×4 PV array. The five different shadow patterns: short narrow (SN), short wide (SW), long narrow (LN), long wide (LW), and centre (CN) are implemented in this work. The performance analysis is carried out by comparing the maximum power generated (PM) and the results of panel simulations, as well as their theoretical conclusions, to ensure that these strategies are effectively implemented in hardware configuration.
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